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A structural support vector method for extracting contexts and answers of questions from online forums

Yunbo Cao, Wen-Yun Yang, Chin-Yew Lin, Yong Yu
2011 Information Processing & Management  
This paper addresses the issue of extracting contexts and answers of questions from post discussion of online forums.  ...  We propose a novel and unified model by customizing the structural Support Vector Machine method.  ...  Acknowledgement The authors would like to thank the anonymous reviewers for their comments to improve this paper.  ... 
doi:10.1016/j.ipm.2010.06.004 fatcat:uushpqhhmnfcxb4bubk4zm6pom

A structural support vector method for extracting contexts and answers of questions from online forums

Wen-Yun Yang, Yunbo Cao, Chin-Yew Lin
2009 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 2 - EMNLP '09   unpublished
This paper addresses the issue of extracting contexts and answers of questions from post discussion of online forums.  ...  We propose a novel and unified model by customizing the structural Support Vector Machine method.  ...  Acknowledgement The authors would like to thank the anonymous reviewers for their comments to improve this paper.  ... 
doi:10.3115/1699571.1699579 fatcat:3ellor4ewrexliz7miyd5vyjgu

Impact of Lexical Features on Answer Detection Model in Discussion Forums

Atif Khan, Muhammad Adnan Gul, Abdullah Alharbi, M. Irfan Uddin, Shaukat Ali, Bader Alouffi, Ning Cai
2021 Complexity  
In most cases, a question in a web forum receives several responses, making it impossible for the question poster to obtain the most suitable answer.  ...  Prior studies have used different combinations of both lexical and nonlexical features to retrieve the most relevant answers from discussion forums, and hence, there is no standard/general set of features  ...  Acknowledgments is research was supported by the Taif University Researchers Supporting Project (TURSP-2020/231), Taif University, Taif, Saudi Arabia.  ... 
doi:10.1155/2021/2893257 fatcat:4wklktea2rdappml7sjr2vulfy

Machine Learning Approach for Answer Detection in Discussion Forums: An Application of Big Data Analytics

Atif Khan, Ibrahim Ibrahim, M. Irfan Uddin, Muhammad Zubair, Shafiq Ahmad, Muhammad Dzulqarnain Al Firdausi, Mazen Zaindin
2020 Scientific Programming  
We proposed to use LinearSVC, a variant of support vector machine (SVM), for answer classification.  ...  Online web forums have become an integral part of the web and are main sources of knowledge. People use this platform to post their questions and get answers from other forum members.  ...  Acknowledgments e authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through research group no. RG-1438-089.  ... 
doi:10.1155/2020/4621196 fatcat:ybzgtop56jgrpe463ueexzkaqy

Extracting Chinese question-answer pairs from online forums

Baoxun Wang, Bingquan Liu, Chengjie Sun, Xiaolong Wang, Lin Sun
2009 2009 IEEE International Conference on Systems, Man and Cybernetics  
Extracting question-answer pairs from online forums is a meaningful work due to the huge amount of valuable user generated resource contained in forums.  ...  In this paper we consider the problem of extracting Chinese question-answer pairs for the first time. We present a strategy to detect Chinese questions and their answers.  ...  ACKNOWLEDGMENT The authors would like to thank Ke Sun and Deyuan Zhang for their valuable suggestions in preparing this paper.  ... 
doi:10.1109/icsmc.2009.5345956 dblp:conf/smc/WangLSWS09 fatcat:6sfihp7g4nawfnb7xn35nxjgxy

Machine Learning for Knowledge Construction in a MOOC Discussion Forum

In this article we offer a new approach to explore forums, interactions and collaboration of learners online, in a knowledge building process, by an extraction framework and presentation of knowledge based  ...  Identifying and extracting knowledge from a MOOC discussion forum requires learner's engagement in a collaborative and informative learning environment that enables knowledge exchange and information sharing  ...  Moreover, in a MOOC, the discussion forum is invested by great importance from students, as it is the only channel that provides support, to answer questions, ask the tutor to intervene and connect with  ... 
doi:10.35940/ijitee.c8899.019320 fatcat:phrfcxhsojcwncn2jsqyd5dl6q

Adopting Learning Analytics to Promote Collaboration in Online Discussions Written in Portuguese

Máverick André, Anderson Pinheiro, Vitor Rolim, Rafael Dueire Lins, Taciana Pontual Falcão, Rafael Ferreira Mello
2021 Zenodo  
In this context, this paper proposes a method for mining the content of messages written in Brazilian Portuguese to enhance students and instructors' interactions in online discussion forums.  ...  The use of the methods for analyzing online discussions forums was validated in a case study conducted in a real course.  ...  Acknowledgements This research was partially supported by the fellowship 310060/2018-4 of the National Council for Scientific and Technological Development -CNPq.  ... 
doi:10.5281/zenodo.4936892 fatcat:mtg7ewcnkzbnheiaczkerys5ta

A Review of the Analytics Techniques for an Efficient Management of Online Forums: An Architecture Proposal

Jesus Peral, Antonio Ferrandez, Higinio Mora, David Gil, Erick Kauffmann
2019 IEEE Access  
answers in the forums; and 3) extraction of relevant key performance indicators with the objective of carrying out an efficient management of online forums.  ...  However, this trend presents many challenges, such as the processing of online forums which generate a huge number of messages with an unordered structure and a great variety of topics.  ...  Finally, other artificial intelligence methods for modeling dialogues and forum structures are based on machine learning approaches such as K-means clustering [46] , Support Vector Machine [42] , and  ... 
doi:10.1109/access.2019.2892987 fatcat:scjwwij6mbd53p526ji7mon4je

Exploring Automated Question Answering Methods for Teaching Assistance [chapter]

Brian Zylich, Adam Viola, Brokk Toggerson, Lara Al-Hariri, Andrew Lan
2020 Lecture Notes in Computer Science  
First, we focus on answering frequent and repetitive logistical questions and adopt a question answering framework that consists of two steps: retrieving relevant documents from a repository and extracting  ...  We explore the use of automated question answering methods to power virtual TAs in online course discussion forums, which are heavily relied on during the COVID-19 pandemic as classes transition online  ...  Then, we extract and rank short answers from each document using automated question answering methods.  ... 
doi:10.1007/978-3-030-52237-7_49 fatcat:3n6gyshw2jawbgdtyoqhxp22ee

Online community search using conversational structures

Jangwon Seo, W. Bruce Croft, David A. Smith
2011 Information retrieval (Boston)  
We then make use of thread structures in retrieval experiments with two online forums and one email archive.  ...  Since these structures are sometimes not explicit or accurately annotated, we introduce structure discovery techniques that use a variety of features to model relations between posts.  ...  Acknowledgements This work was supported in part by the Center for Intelligent Information Retrieval (CIIR) and in part by NSF grant #IIS-0711348.  ... 
doi:10.1007/s10791-011-9166-8 fatcat:qtqodrjhj5dhfp6ssefm3m4gxq

Reducing Miscommunication in Cross-Disciplinary Concept Discovery using Network Text Analysis and Semantic Embedding

Akkharawoot Takhom, Prachya Boonkwan, Mitsuru Ikeda, Sasiporn Usanavasin, Thepchai Supnithi
2017 Joint International Conference of Semantic Technology  
The approach is employed for understanding semantic meaning of terms from a source of knowledge, as a discussion forum.  ...  We calculate each term detected by our cross-domain codebook onto the vector space and straightforwardly investigate the relationship among questions and answers on it.  ...  Acknowledgment This research is partially supported by Japan Advanced Institute of Science and Technology (JAIST), Japan, the Center of Excellence in Intelligent Informatics, Speech and Language Technology  ... 
dblp:conf/jist/TakhomBIUS17 fatcat:kto3y3lkdjhcnlea7mp5nkmtzi

Finding Problem Solving Threads in Online Forum

Zhonghua Qu, Yang Liu
2011 International Joint Conference on Natural Language Processing  
In this paper we propose a two-step approach to classify online forum threads according to their informativeness in terms of question answering.  ...  Online forum is an important source that people use to find answers to questions.  ...  ., 2008) used Conditional Random Fields to extract context of questions for answer detection. Huang et al.  ... 
dblp:conf/ijcnlp/QuL11 fatcat:tzns6ozdpbbife656j5kesryxa

A Process to Support Analysts in Exploring and Selecting Content from Online Forums

Darlinton Carvalho, Ricardo Marcacini, Carlos Lucena, Solange Rezende
2014 Social Networking  
However, qualitative analysis of online forums is very time consuming and most content is not related to researchers' interest.  ...  A tool that helps to apply the proposed process was created to provide consolidated and structured results. This includes measurements and a content exploration interface.  ...  Acknowledgements The authors would like to thank Rodrigo Pazzini for the help with his expert social media skills.  ... 
doi:10.4236/sn.2014.32011 fatcat:q37ibonpkfaejhslopual3iuwu

"Similar query was answered earlier": processing of patient authored text for retrieving relevant contents from health discussion forum

Sujan Kumar Saha, Amit Prakash, Mukta Majumder
2019 Health Information Science and Systems  
The system is tested using a set of real questions collected from a homeopathy forum namely The relevance of the posts retrieved by the system is evaluated by human experts.  ...  As a result, these forums became a huge repository of information and discussions on various health issues.  ...  Informed consent Informed consent was obtained from all individual participants included in the study.  ... 
doi:10.1007/s13755-019-0067-3 pmid:30863540 pmcid:PMC6384532 fatcat:nn5qoku42beizjnoequ75htose

Extracting Chatbot Knowledge from Online Discussion Forums

Jizhou Huang, Ming Zhou, Dan Yang
2007 International Joint Conference on Artificial Intelligence  
This paper presents a novel approach for extracting high-quality pairs as chat knowledge from online discussion forums so as to efficiently support the construction of a chatbot for a certain domain.  ...  First, the replies logically relevant to the thread title of the root message are extracted with an SVM classifier from all the replies, based on correlations such as structure and content.  ...  Cheng Niu, Zhihao Li for their valuable suggestions on the draft of this paper. We also thank Dwight for his assistance to polish the English.  ... 
dblp:conf/ijcai/HuangZY07 fatcat:4poccfsj2bbsnhblzsmuu6dldm
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